Toward ubiquitous massive accesses in 3GPP machine-to-machine communications

By Shao-Yu Lien, Kwang-Cheng Chen, Yonghua Lin. IEEE Communications Magazine, 2011

633 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/d6aa4588a21c2065b781c0926de5337f39831dc6

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In Biomedical Engineering

In Electrical and Electronic Engineering

Citations in the corpus

Mobile Unmanned Aerial Vehicles (UAVs) for Energy-Efficient Internet of Things Communications (2017, background): “These devices are typically unable to transmit over a long distance due to their energy constraints [11].”
Survey on Collaborative Smart Drones and Internet of Things for Improving Smartness of Smart Cities (2019, background): “Drones can move dynamically towards the IoT devices and collect data, establish a real-time connection, process the data and transmit information over to the collection nodes or other devices [12].”
Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks (2019, background): “The corresponding massive machine type of communication (mMTC) [147] mode of the 5G network3 is capable of supporting sensing, transmitting, fusion and processing sensory data.”
Millimeter-Wave Massive MIMO Communication for Future Wireless Systems: A Survey (2018, neutral): “mmWave massive MIMO-based cellular system [207]–[209].”
A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems (2018, background): “management [24], [79]–[81] requires effective wireless connectivity among a massive number of IoT devices that must reliably deliver their data, typically at high data rates or ultra”
Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and Tradeoffs (2015, background): “In this case, a UAV can provide a means to collect the IoT data from one device and transmit it to the intended receiver [3] and [4].”
Is the Random Access Channel of LTE and LTE-A Suitable for M2M Communications? A Survey of Alternatives (2014, background): “Even though the 3GPP considers EAB as the solution for overload control [7], other studies found in the literature coincide in suggesting that ACB mechanisms should not be considered as stand-alone solutions to overcome network congestion problems in M2M networks [21], [22].”
Toward Massive Machine Type Communications in Ultra-Dense Cellular IoT Networks: Current Issues and Machine Learning-Assisted Solutions (2018, background): “Moreover, as the jittering constraints become challenging while transmitting small data packets from a large number of devices, this issue can be addressed by employing grouping-based resource scheduling which allocate radio resources to the speciﬁc groups having similar QoS characteristics [61].”
Random access for machine-to-machine communication in LTE-advanced networks: issues and approaches (2013, methodology): “A group-based scheme is proposed in [13] by forming clusters based on QoS requirements.”
Ultra Reliable UAV Communication Using Altitude and Cooperation Diversity (2017, methodology): “2746105 UAVs have also been used in the context of Internet of Things (IoT) to assist low power transmitters to send their data to a destination [5], [6], and to enable energy-efficient communication [7], [8].”
Grant-Free Non-Orthogonal Multiple Access for IoT: A Survey (2019, background): “A high proportion of these services demonstrate autonomous communication, where data transmission between various devices, and with the underlying network, takes place with little or no human intervention [4].”
Integration of Cloud computing and Internet of Things: A survey (2016, background): “However, the communication framework from sensor networks faces difficulties in satisfying the requirements of recent scenarios such as ITS, where each smart device can play more than one of the possible roles: sensor, decision maker, and action executor [131].”
M2M Communications in 3GPP LTE/LTE-A Networks: Architectures, Service Requirements, Challenges, and Applications (2015, background): “, data traffic from meters in smart grid or navigation systems) require strict timing constraints, and catastrophes may occur if timing constraints are violated [52].”